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Integrated knowledge content in an interdisciplinary field: identification, classification, and application

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成果类型:
期刊论文
作者:
Wang, Shiyun;Mao, Jin;Cao, Yujie;Li, Gang
通讯作者:
Yujie Cao
作者机构:
[Wang, Shiyun; Li, Gang; Mao, Jin] Wuhan Univ, Ctr Studies Informat Resources, Bayi Rd 299, Wuhan 430072, Hubei, Peoples R China.
[Wang, Shiyun; Li, Gang; Mao, Jin] Wuhan Univ, Sch Informat Management, Bayi Rd 299, Wuhan 430072, Hubei, Peoples R China.
[Cao, Yujie] Cent China Normal Univ, Sch Informat Management, Xiongchu Ave 382, Wuhan 430079, Hubei, Peoples R China.
通讯机构:
[Yujie Cao] S
School of Information Management, Central China Normal University, Xiongchu Avenue #382, Hongshan District, Hubei, Wuhan, China
语种:
英文
关键词:
Knowledge flow;Knowledge integration;Citances;Citation context;Deep learning
期刊:
Scientometrics
ISSN:
0138-9130
年:
2022
卷:
127
期:
11
页码:
6581-6614
基金类别:
National Social Science Foundation of China [20CTQ024, AII2021]
机构署名:
本校为其他机构
院系归属:
信息管理学院
摘要:
Interdisciplinary research has attracted extensive attention from researchers and policymakers by its nature of integrating various types of knowledge from multiple disciplines to solve complex scientific problems. Besides the studies on citation-based interdisciplinary knowledge flow, recent efforts have been made to demystify the characteristics of knowledge integration in interdisciplinary research from a knowledge content perspective. To deeply understand the knowledge content integrated into interdisciplinary research, two tasks were formu...

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